presidio vs llama_index
presidio and llama_index share 8 technologies: matplotlib, cryptography, presidio-analyzer, presidio-anonymizer, opencv-python, pillow, pytesseract, and Pydantic. Both are written in Python.
What they share and what sets them apart
data-privacy-stack
presidio
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
Python11.8kRead on November 12, 2026, at commit 1d70059What is presidio built with?Only in presidio
In common
matplotlib
- cryptography
presidio-analyzer
presidio-anonymizer
opencv-python
pillow
- pytesseract
- Pydantic
run-llama
llama_index
LlamaIndex is the document processing platform for AI
Python52.9kRead on November 10, 2026, at commit fe107aaWhat is llama_index built with?Only in llama_index
starlette
- aiomysql
- aiosqlite
- async-lru
- asyncpg
- azure-cosmos
- azure-data-tables
- azure-search-documents
- azure-storage-blob
- ibm-db
- nebula3-python
- oss2
pgml
- pgvecto-rs
pgvector
pickleshare
psycopg
psycopg2-binary
pyathena
- pydrive
- pylance
- pymongo
python-arango
pyvespa
- pyzmq
- Redis
snowflake-sqlalchemy
- tantivy
weaviate-client
- Neo4j
- aioboto3
pyarrow
lancedb
oracledb
- DuckDB
- pymilvus
- pysolr
- SQLite
- tablestore
- aperturedb
- astrapy
chromadb
- dashvector
falkordb
- jaguardb-http-client
- MySQL
pinecone
clickhouse-connect
- couchdb3
- gcsfs
opendal
- pyairtable
pyiceberg
pymochow
- pymysql
- pyobvector
- s3fs
- tcvectordb
typesense
- ElevenLabs
- anyio
- graphql-core
- jupyter-core
jupyterlab-server
tornado
- AIOHTTP
- Ray
jupyterlab-pygments
- soupsieve
- tinycss2
- ipywidgets
- jupyter-server-terminals
- jupyterlab-widgets
- matplotlib-inline
prompt-toolkit
- widgetsnbextension
- Rich
- SQLAlchemy
- argon2-cffi
- argon2-cffi-bindings
- azure-identity
Googlegoogle-auth-httplib2
google-auth-oauthlib
- pyjwt
- msal
- argilla
- azure-ai-agents
- azure-ai-inference
- azure-ai-projects
contextual-client
- diff-cover
- einops
firecrawl-py
friendli-client
- guardrails-ai
llama-cpp-python
llama-index-core
- llama-index-embeddings-dashscope
- llama-index-embeddings-huggingface
- llama-index-embeddings-openai
- llama-index-llms-anthropic
- llama-index-llms-azure-openai
- llama-index-llms-huggingface
- llama-index-llms-llama-cpp
- llama-index-llms-openai
- llama-index-llms-openai-like
- llama-index-node-parser-dashscope
- llama-index-program-guidance
- llama-index-readers-dashscope
- llama-index-readers-database
- llama-index-readers-remote
- llama-index-readers-upstage
- llama-index-readers-web
- llama-index-response-synthesizers-google
- llama-index-utils-azure
- llama-index-utils-huggingface
- llama-index-utils-qianfan
- llama-index-vector-stores-google
- llama-index-workflows
- mem0ai
- ms-swift
- open-clip-torch
OpenAI- openinference-instrumentation-llama-index
- openvino-tokenizers
- PaddlePaddle
portkey-ai
- reka-api
- tavily-python
- torch
llama-index-instrumentation
- transformers
- ibm-watsonx-ai
cohere
- LangChain
- tiktoken
- MCP
sentence-transformers
dashscope
- fastembed
- flagembedding
- llama-cloud
nltk
optimum-intel
- sentencepiece
- ai21
aleph-alpha-client
chonkie
- gigachat
- guidance
igptai
- konko
litellm
- mixedbread
- ModelScope
- octoai
- Ollama
- openvino
- openvino-genai
premai
- scikit-learn
- tritonclient
- vLLM
voyageai
- zep-python
- zhipuai
- agent-search
- aimon
argilla-llama-index
assemblyai
- bm25s
browserbase
cleanlab-tlm
cognee
- colpali-engine
- datasets
- exa-py
flashrank
- hnswlib
honeyhive
- instructorembedding
isaacus
langfuse
llmlingua
- llmsherpa
- marvin
mlx
- mlx-lm
nomic
notdiamond
optimum
optimum-habana
- paddleocr
peft
promptlayer
- psychicapi
- pydi-client
- rank-llm
- span-marker
- superlinked
tokenizers
uptrain
vectorize-client
videodb
- beautifulsoup4
- bleach
camelot-py
- ghostscript
- llama-index-readers-file
- llama-index-readers-youtube-transcript
- maincontentextractor
marker-pdf
markupsafe
mistune
- nbformat
- newspaper3k
nougat-ocr
- pandocfilters
webencodings
- xlrd
- bs4
- html2text
unstructured
- defusedxml
- jinja2
lxml
pymupdf
- filetype
- bagel
- docx2txt
- markdownify
olefile
dgml-utils
docling
- layoutir
- llama-parse
- lxml-html-clean
- markitdown
- nbconvert
- pdf2image
- pdfplumber
pypdf
pypdf2
- striprtf
- svglib
- tika
tinytag
- youtube-transcript-api
- fastjsonschema
- fqdn
- jsonschema-specifications
marshmallow
- referencing
- rfc3339-validator
- rfc3986-validator
docling-core
- annotated-types
- jsonschema
- pydantic-core
- opentelemetry-api
opentelemetry-semantic-conventions
prometheus-client
psutil
- python-json-logger
- boto3
- docker
- Alibaba Cloud
- oci
- OpenTelemetry
Side by side
presidiollama_index
SizeLines written by people and agents, without generated ones; code files, without tests.
presidio72,277 lines written245 code files
llama_index473,236 lines written2,055 code files
Who writes itA commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
presidio5.2% of its commits signed by AIWith GitHub Copilot, Claude Code, and Cursor
llama_index0.2% of its commits signed by AIWith Claude Code, Cursor, and GitHub Copilot
ActivityFrom GitHub and its history, on the day SeeRepo read it.
presidioLast push November 11, 20261,473 commits11,840 stars
llama_indexLast push November 8, 20267,964 commits52,863 stars
TestsThe files that test the code, and the share of code files a test imports.
presidio225 test files6.5% of its code files have a test that imports them
llama_index1,607 test files46.5% of its code files have a test that imports them
Frequently asked questions
Which is bigger, presidio or llama_index?
llama_index, with 473,236 lines written; presidio has 72,277.
Which has more GitHub stars, presidio or llama_index?
llama_index, with 52,863 stars; presidio has 11,840.
The proof: run-llama/llama_index on GitHub
Which has more tests, presidio or llama_index?
llama_index, with 1,607 test files; presidio has 225.
Which was updated more recently, presidio or llama_index?
presidio: its last push was on November 11, 2026, and llama_index's on November 8, 2026.
Which has more commits signed by AI, presidio or llama_index?
presidio: an AI signed 5.2% of its commits, with GitHub Copilot, Claude Code, and Cursor; in llama_index, 0.2%.
The proof: the commits each tool signed in data-privacy-stack/presidio
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